Smart Mirror for Home and Work Environment

Hamza, Muhammad; Lohar, Sajjad Ahmed; Ghulamani, Sumbul; Shah, Asadullah

doi:10.1109/icetas48360.2019.9117296

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…For instance, if the network's stride is 32, an input image with a size of 416 × 416 will result in an output with a size of 13 x 13. The convolutional layers learned features are accepted by the classifier/ regression (16)(17)(18) . The actual detection prediction is performed by this technique.…”

Section: Methodsmentioning

confidence: 99%

IoT Based Smart Mirror Using Raspberry Pi 4 and YOLO Algorithm: A Novel Framework for Interactive Display

Viswanatha¹,

Chandana²,

Ramachandra³

2022

IJST

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Objectives:The primary goal of this device is to support the user in a variety of ways, and by enabling communication between the user and the gadget, we can demonstrate the user's control over the location where the device will be Built and set up the home environment for the human detection using You Only Look Once (YOLO) algorithm. Methods: The technology is made to show the current news, weather, and temperature on the mirror. The technology is primarily intended to be used as an intrusion detection system and for human monitoring. YOLO algorithm is used to find the object in the given image. The suggested design is envisioned as a collection of components that can be utilized to provide security as well as simply display information on a screen. The system is created utilizing Python programming and hardware components such as Raspberry Pi 3 model, a microphone, a touch screen, a mobile device, a camera, and passive infrared (PIR) sensors. Findings: This study provides thorough information regarding the operation of a smart mirror, which enables us to perform all necessary actions or tasks that we perform regularly and to complete them in a predetermined amount of time. Since the research is primarily intended for intrusion detection, we can also get the most out of it by using it in a specific manner. We would use it to monitor children's whereabouts. Novelty: This technology has a high economic value because it has so many uses and tends to help users with daily tasks. And because it is created using machine learning language and has room for artificial intelligence, even the user who uses it can add some of his remainders to the device, and it can also alert a user in the designated remainder time so that person won't miss their important meeting. As a result, this device is more valuable, useful, and collectively beneficial. This technology will produce a finished product with the highest level of accuracy and precision.

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Section: Methodsmentioning

confidence: 99%

IoT Based Smart Mirror Using Raspberry Pi 4 and YOLO Algorithm: A Novel Framework for Interactive Display

Viswanatha¹,

Chandana²,

Ramachandra³

2022

IJST

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show abstract

“…Leaves, and wood, while non-organic, are waste that cannot be decomposed but can be recycled, such as plastic, glass, paper, and metal waste. This waste will be a disaster for human life and the environment if it is not appropriately managed so that a sorting system and good processing to reduce the effects and side effects for the environment are needed [1,2].…”

Section: Introductionmentioning

confidence: 99%

Prototype Design Internet of Things Based Waste Management Using Image Processing

Widianto¹,

Wahyu²,

Gusna³

2021

Adv. sci. technol. eng. syst. j.

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Waste is currently a serious problem often found in rural areas, rural areas, and even industrial areas. Waste is a side effect of activities carried out by humans to meet social or industrial needs. Increasing human productivity will also increase the amount of waste produced. To overcome this, a sorting management system is needed. Good waste is seen from the processing method to the recycling process. The waste management problem still relies on the old system transporting and disposing of waste to the final disposal site (TPA). The TPA itself sometimes piles up in one place so that the waste process becomes uneven and the sorting process is not good, causing type waste. This accumulates and mixes with other hazardous waste. In today's modern era, the management and sorting system is the same. Object detection and waste classification are carried out in the Sensor system to introduce the previously prepared model. The prototype article recognition model is prepared with waste images to produce a freeze forecast graph used for object discovery which is carried out via the camera associated with the Arduino Uno as the basic unit handling. Ultrasonic sensors are inserted into each garbage compartment to filter out the refill filling rate. The sorting system itself can use computer-based image processing methods. Image Processing is used to process data in real-time and fill the trash level. The sensor module that is implanted to detect waste management personnel, the results of this study prove that image management can accommodate waste particles and tested in the BlackBox method produces results following the required quantitative with the accuracy in both the camera, sensor, and image process used can detect an average of 70%.

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Development of Interactive Smart Mirror for Implementation in College Environment

Majumder¹,

Pratihar²,

Saha³

et al. 2021

Algorithms for Intelligent Systems

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Smart Mirror for Home and Work Environment

Cited by 3 publications

References 8 publications

IoT Based Smart Mirror Using Raspberry Pi 4 and YOLO Algorithm: A Novel Framework for Interactive Display

IoT Based Smart Mirror Using Raspberry Pi 4 and YOLO Algorithm: A Novel Framework for Interactive Display

Prototype Design Internet of Things Based Waste Management Using Image Processing

Development of Interactive Smart Mirror for Implementation in College Environment

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